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Energy-Saving Distributed Flexible Job Shop Scheduling Optimization with Dual Resource Constraints Based on Integrated Q-Learning Multi-Objective Grey Wolf Optimizer

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Computer Modeling in engineering & Sciences 2024年第8期140卷 1459-1483页

作者： Hongliang Zhang Yi Chen Yuteng Zhang Gongjie Xu School of Management Science and Engineering Anhui University of TechnologyMa’anshan243032China Laboratory of Multidisciplinary Management and Control of Complex Systems of Anhui Higher Education Institutes Anhui University of TechnologyMa’anshan243032China Department of Industrial Engineering School of Mechanical EngineeringNorthwestern Polytechnical UniversityXi’an710072China

The distributed flexible job shop scheduling problem(DFJSP)has attracted great attention with the growth of the global manufacturing *** DFJSP research only considers machine constraints and ignores worker *** one critical factor of production,effective utilization of worker resources can increase ***,energy consumption is a growing concern due to the increasingly serious environmental ***,the distributed flexible job shop scheduling problem with dual resource constraints(DFJSP-DRC)for minimizing makespan and total energy consumption is studied in this *** solve the problem,we present a multi-objective mathematical model for DFJSP-DRC and propose a Q-learning-based multi-objective grey wolf optimizer(Q-MOGWO).In Q-MOGWO,high-quality initial solutions are generated by a hybrid initialization strategy,and an improved active decoding strategy is designed to obtain the scheduling *** further enhance the local search capability and expand the solution space,two wolf predation strategies and three critical factory neighborhood structures based on Q-learning are *** strategies and structures enable Q-MOGWO to explore the solution space more efficiently and thus find better Pareto *** effectiveness of Q-MOGWO in addressing DFJSP-DRC is verified through comparison with four algorithms using 45 *** results reveal that Q-MOGWO outperforms comparison algorithms in terms of solution quality.

关键词： Distributed flexible job shop scheduling problem dual resource constraints energy-saving scheduling multi-objective grey wolf optimizer Q-learning

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A branch-and-price algorithm for emergency humanitarian logistics with a mixed truck-drone fleet

A branch-and-price algorithm for emergency humanitarian logi...

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IISE Annual Conference and Expo 2024

作者： Sobhanan, Abhay Mahmoudinazlou, Sasan Charkhgard, Hadi Kwon, Changhyun Department of Industrial and Management Systems Engineering University of South Florida TampaFL33620 United States Department of Industrial and Systems Engineering KAIST Daejeon34141 Korea Republic of

ISBN: (纸本)9781713877851

Humanitarian aid distribution often prioritizes rapid relief operations or emergency services under time constraints, as opposed to commercial transportation problems, where the primary objective is to minimize operational costs. Drones can offer immense potential to achieve this goal by leveraging their aerial mobility. Specifically, drones can surpass ground transportation and navigate directly through disrupted or inaccessible roads, ensuring the quickest path to deliver aid where the ground vehicle may face obstacles. However, drones have limitations in terms of flying range and load capacity. To effectively provide time-sensitive emergency services, combining a ground vehicle with one or more aerial vehicles enhances coverage. Our approach integrates a truck as a mobile depot for multiple drones, where a drone battery is replenished on landing after a flight, and the fleet operates in tandem to serve the locations visited. We formulate a mixed-integer linear programming (MILP) model to maximize the weighted sum of locations served by this mixed truck-drone fleet under time constraints. We further develop a branch-and-price algorithm to solve this problem, where the pricing subproblem is solved using dynamic programming recursions with dominance rules. Our results demonstrate the computational superiority of this method compared to a commercial optimization solver and its potential for expediting aid distribution during an emergency. © IISE Annual Conference and Expo *** rights reserved.

关键词： Integer programming

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Recent Developments in Authentication Schemes Used in Machine-Type Communication Devices in Machine-to-Machine Communication: Issues and Challenges

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Computers, Materials & Continua 2024年第4期79卷 93-115页

作者： Shafi Ullah Sibghat Ullah Bazai Mohammad Imran Qazi Mudassar Ilyas Abid Mehmood Muhammad Asim Saleem Muhmmad Aasim Rafique Arsalan Haider Ilyas Khan Sajid Iqbal Yonis Gulzar Kauser Hameed Department of Computer Engineering Balochistan University of Information TechnologyEngineering and Management SciencesQuetta87300Pakistan Department of Information Technology Balochistan University of Information TechnologyEngineeringand Management SciencesQuetta87300Pakistan Department of Information Systems College of Computer Sciences and Information TechnologyKing Faisal UniversityHofuf in Al-Ahsa31982Saudi Arabia Department of Management Information Systems College of Business AdministrationKing Faisal UniversityHofuf in Al-Ahsa31982Saudi Arabia Department of Software Engineering College of ComputingRiphah International UniversityFaisalabad44000Pakistan Department of Electrical Engineering Balochistan University of Information Technology Engineeringand Management SciencesQuetta87300Pakistan Department of Mathematics College of Science Al-ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia

Machine-to-machine (M2M) communication plays a fundamental role in autonomous IoT (Internet of Things)-based infrastructure, a vital part of the fourth industrial revolution. Machine-type communication devices(MTCDs) regularly share extensive data without human intervention while making all types of decisions. Thesedecisions may involve controlling sensitive ventilation systems maintaining uniform temperature, live heartbeatmonitoring, and several different alert systems. Many of these devices simultaneously share data to form anautomated system. The data shared between machine-type communication devices (MTCDs) is prone to risk dueto limited computational power, internal memory, and energy capacity. Therefore, securing the data and devicesbecomes challenging due to factors such as dynamic operational environments, remoteness, harsh conditions,and areas where human physical access is difficult. One of the crucial parts of securing MTCDs and data isauthentication, where each devicemust be verified before data transmission. SeveralM2Mauthentication schemeshave been proposed in the literature, however, the literature lacks a comprehensive overview of current M2Mauthentication techniques and the challenges associated with them. To utilize a suitable authentication schemefor specific scenarios, it is important to understand the challenges associated with it. Therefore, this article fillsthis gap by reviewing the state-of-the-art research on authentication schemes in MTCDs specifically concerningapplication categories, security provisions, and performance efficiency.

关键词： Authentication cyber security internet of things machine-type communication devices machine-to-machine communication

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Comprehensive technical analysis of post-combustion carbon capture and storage based on monoethanolamine absorption for petrochemical industry in Indonesia

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Clean Energy 2024年第6期8卷 16-36页

作者： Muh Asyrofi Rahma Muthia Mohammad Akita Indianto Energy Systems Engineering Graduate Program Department of Interdisciplinary EngineeringFaculty of EngineeringUniversitas IndonesiaKampus Baru UI DepokDepokWest Java 16424Indonesia Department of Chemical Engineering Faculty of EngineeringUniversitas IndonesiaKampus Baru UI DepokDepokWest Java 16424Indonesia Sustainable Energy Systems and Policy Research Cluster Universitas IndonesiaKampus Baru UI DepokDepokWest Java 16424Indonesia Tropical Renewable Energy Center Faculty of EngineeringUniversitas IndonesiaKampus Baru UI DepokDepokWest Java 16424Indonesia

The implementation of carbon capture and storage in the petrochemical industry is one of the means of *** research focuses on a comprehensive technical analysis of the deployment of post-combustion carbon capture and storage based on monoethanolamine absorption in the petrochemical *** olefin complex petrochemical industry in Tuban,Indonesia,is the basis for the analysis,which includes a steam cracker,polyethylene,polypropylene,and raw pyrolysis gasoline hydrotreating units,with capacities of 1000,940,600,and 570 kilotons/year,*** total energy consumption is about 16024.53 GJ/h,and the CO_(2) emissions are about 1.6 megatons/*** on these plant systems,comprehensive technical analyses of the implementation of carbon capture and storage in that industry were performed using Aspen HYSYS®simulation *** analysis was carried out to determine the total CO_(2) captured,energy intensity,monoethanolamine consumption,and net CO_(2) captured in various scenarios based on the number of absorber column stages,absorption pressure,and desorption *** CO_(2) storage site is about 100 km away and is transported by an onshore pipeline with a supercritical phase of CO_(2).The optimal net CO_(2) capture value is achieved by setting up a 50-stage absorber column with a pressure of 1 barg and a temperature of 110℃ at the top of the desorber column,resulting in a CO_(2) capture yield of 86.4%and an energy intensity of 12.6 GJ/ton CO_(2).Under these conditions,the net CO_(2) captured in the scenario based on gas power plants’electricity is 0.225 megatons/year,while in the scenario based on gas power plants incorporating 30%biomass electricity,it is 0.544 megatons/*** increased use of renewable energy in carbon capture and storage facilities,more net CO_(2) is *** study can be applied to various cases of post-combustion carbon capture and storage implementation in the industrial sector,especially in the

关键词： carbon capture and storage petrochemical olefin monoethanolamine absorption pipeline injection energy intensity net captured CO_(2)

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Performance Analysis of Ducted-Fan Modules with Axial Impeller

Performance Analysis of Ducted-Fan Modules with Axial Impell...

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2024 International Conference on Precision engineering and Mechanical Manufacturing, PEMM 2024

作者： Shiau, Yau-Ren Fang, Jiunn Huang, Yuan-Chi Department of Industrial Engineering and Systems Management Feng Chia University Taichung407 Taiwan Department of Aerospace and Systems Engineering Feng Chia University Taichung407 Taiwan Ph.D. Program of Mechanical and Aeronautical Engineering Feng Chia University Taichung407 Taiwan

ISBN: (纸本)9781510683129

Impellers are extensively employed across various industrial sectors and in different industrial systems, such as ducted-fan modules. The configuration of ducted-fan modules can be optimized to achieve high impeller performance, safe and stable operation, and high operational efficiency. This study designed two ducted-fan modules with axial impellers composed of airfoil cascades by using the Fan Calculator software program to analyze their performance and efficiency. The study discovered that the module efficiency varied with the internal impeller diameter, external impeller diameter, and rotational speed. An increase in the outlet angle of the blade tip caused increases in the power generated by, pressure change produced in, and flow rate of the modules, thereby enhancing fan efficiency and module performance. The study makes two contributions. First, it constructed two ducted-fan modules with axial impellers by using the duct to isolate the blades, thus increasing the safety and stability of the fan. Second, it explored the performance and efficiency of impellers with airfoil cascades to enhance fan efficiency and optimize the design of a ducted-fan module. © 2024 SPIE.

关键词： Ducted fan engines

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DEVELOPMENT OF THE AI-ASSISTED THERMAL HYDRAULIC ANALYSIS METHOD FOR CONDENSING BUBBLES IN VERTICAL SUBCOOLED FLOW BOILING 31

DEVELOPMENT OF THE AI-ASSISTED THERMAL HYDRAULIC ANALYSIS ME...

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2024 31st International Conference on Nuclear engineering, ICONE 2024

作者： Zhou, Wen Miwa, Shuichiro Okamoto, Koji Okawa, Tomio Tsujimura, Ryoma Nguyen, Thanh-Binh Department of Nuclear Engineering and Management School of Engineering University of Tokyo Tokyo Japan Department of Mechanical & Intelligent Systems Engineering The University of Electro-Communications Tokyo Japan

ISBN: (纸本)9780791888315

Subcooled flow boiling plays a pivotal role in various industrial applications, including nuclear reactors and thermal management systems. However, the rapid and complex changes of condensing bubbles experience from their inception to collapse in subcooled flow boiling present substantial obstacles for conventional bubble detection methods, especially when it comes to condensation bubbles. In light of this, a state-of-the-art AI method is developed and validated for the efficient detection and tracking of condensation bubbles in subcooled flow boiling, thereby enabling the effective execution of thermal hydraulic analyses. This study initially employs computer vision technology to efficiently construct a bubble dataset. Subsequently, a bubble detection model is trained based on this dataset and the YOLOv8 with attention mechanism. Utilizing the results of bubble detection, a multi-object tracking algorithm is then applied to track all bubbles in each frame. The developed AI-based method exhibits a strong ability to detect 95% of condensation bubbles in subcooled flow boiling, additionally, it streamlines the extraction of critical thermal hydraulic parameters, including void fraction, bubble lifetime, and nucleation site density. The model's accuracy and consistency is demonstrated compared to empirical correlations, affirming its reliability in analyzing the intricate dynamics of subcooled flow boiling. © 2024 by ASME.

关键词： Void fraction

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Sentiment analysis in social internet of things using contextual representations and dilated convolution neural network

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Neural Computing and Applications 2024年第20期36卷 12357-12370页

作者： Abid, Fazeel Rasheed, Jawad Hamdi, Mohammed Alshahrani, Hani Al Reshan, Mana Saleh Shaikh, Asadullah Department of Information Systems Dr. Hassan Murad School of Management University of Management and Technology Lahore Pakistan Department of Computer Engineering Istanbul Sabahattin Zaim University Istanbul34303 Turkey Department of Software Engineering Istanbul Nisantasi University Istanbul34394 Turkey Department Computer Science College of Computer Science and Information Systems Najran University Najran61441 Saudi Arabia Department Information Systems College of Computer Science and Information Systems Najran University Najran61441 Saudi Arabia

The methodologies based on neural networks are substantial to accomplish sentiment analysis in the Social Internet of Things (SIoT). With social media sentiment analysis, significant insights can produce efficient and intelligent applications. Neural networks such as recurrent neural networks (RNNs) and convolution neural networks (CNNs) have been considered widely in many text classification tasks. However, RNNs are computationally expensive and require complex training to capture contextual information and long-term dependencies. Similarly, traditional CNNs must stack multiple convolutional layers, requiring massive computations and additional parameters. To address these problems, this work initialized the novel architecture, in which contextual representations (CRs) based on the textual framework are proposed at the initial step. In CRs, state-of-the-art word representation models, such as GloVe (global vectors) and FastText (subword information), collectively produce word representations upon the input sequence using a weight mechanism. Secondly, a unique way is introduced: a three-parallel layered dilated convolutional network with global mean pooling. The experimental results show that the proposed methods when compared with baseline methods, the dilation in CNNs following CRs significantly increases the accuracy from 72.45 to 98.98% and reduces computational resources. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024.

关键词： Sentiment analysis

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Analysing the Indicators and the Associated Recommendations of Household Emission Calculators

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Circular Economy and Sustainability 2024年第4期4卷 2657-2673页

作者： Alexopoulos, Charalampos Karelis, Christos Keramidis, Panagiotis Orfanou, Athanasia Lekkas, Demetris-Francis Charalabidis, Yannis Department of Information and Communication Systems Engineering Information Systems Laboratory University of the Aegean Department of Environment Waste Management Laboratory University of the Aegean Copenhagen Business School

Climate change and the related greenhouse gas (GHG) emissions are an evident threat to Europe and the world and have been at the forefront of environmental policy for decades. Carbon footprint calculators provide a valuable approach when it comes to informing people about GHGs and specifically to CO₂ equivalent (CO₂-eq). These calculators estimate the carbon footprint by converting emissions or energy data to the equivalent amount of carbon dioxide (CO₂) related to a person - its everyday profile. They are considered as “household calculators” as they are based on information provided by the user that is related to various activities and behaviours (transportation, housing, food consumption, waste management, consumption etc). Some of the calculators also provide recommendations to the users, based on their results, on how to change their habits and reduce their carbon emissions. This study provides a comparative analysis of the indicators used to calculate the carbon footprint in available household calculators, as well as the recommendations provided for the users to reduce their footprint. The aim of this paper is to present the current state of household carbon footprint calculators regarding;the data they require to calculate the carbon footprint and the recommendations they provide based on the results/household performance. The paper provides an analysis of a group of carbon footprint calculators that are freely available online, focusing on the domains and indicators used by each calculator, along with the associated proposed recommendations. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.

关键词： Carbon Footprint Calculators Carbon Offset Climate Change

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Sustainability of Manufacturing Enterprises: A Psychological Perspective of Linking Manufacturing Layers

Sustainability of Manufacturing Enterprises: A Psychological...

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IISE Annual Conference and Expo 2024

作者： Garbie, Ibrahim Garbie, Muhammad Department of Mechanical Engineering Industrial Engineering Program College of Engineering Helwan University Cairo Egypt Department of Industrial Systems and Manufacturing Engineering Texas Tech University LubbockTX United States

ISBN: (纸本)9781713877851

As sustainability/sustainable development (S/SD) is still considered the buzzword in manufacturing environments, particularly after showing up and joining Industry 4.0 (I4.0), S/SD is prescribed to be embraced as one of the major perspectives of actualizing I4.0. Manufacturing, in common, is separated into three primary streams or layers. These layers are represented by machine design (MD), manufacturing processes (MP), and manufacturing systems (MS). All these layers constitute manufacturing enterprises. Although these layers coincide or overlap at one point, there's a psychological link between them. The primary layer is called the core and is dependable for designing machine components. The second layer is called the chosen layer, and it is represented by the manufacturing process with which generation operations will be adopted. The final layer could be a given one and is utilized to demonstrate which manufacturing system can be chosen. This paper aims to discover the S/SD for these layers and the psychological interface between them. In this paper, components of these three layers will be distinguished and analyzed, and the S/SD index of linking these layers through a psychological perspective will be proposed and outlined independently and universally. © IISE Annual Conference and Expo *** rights reserved.

关键词： Smart manufacturing

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Designing Manufacturing Enterprises System for Industry 4.0

Designing Manufacturing Enterprises System for Industry 4.0

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IISE Annual Conference and Expo 2024

ISBN: (纸本)9781713877851

Currently, researchers are concentrating their attention on design for manufacturing, design for assembly, design for cost and design for quality, design for complexity, design for reconfiguration, design for sustainability, and design for X…etc., but they do not mention design manufacturing enterprises system for Industry 4.0. The design manufacturing enterprises system for Industry 4.0 is a systemic approach that simultaneously identifies elements and components for designing manufacturing enterprises for Industry 4.0, taking into consideration the new urgency of adopting Industry 4.0 and the challenges and risk management for implementing Industry 4.0. In this paper, the designing analysis and level will be presented by identifying the relative importance of urgent adoption and the challenges of implementing Industry 4.0. © IISE Annual Conference and Expo *** rights reserved.

关键词： Smart manufacturing

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